Fast non-Cartesian L 1 -SPIRiT with Field Inhomogeneity Correction

Daniel S. Weller 1 and Jeffrey A. Fessler 1

1
EECS, University of Michigan, Ann Arbor, MI,
United States

Fast, undersampled single-shot k-space trajectories have
applications in functional and dynamic imaging, but
their long readouts cause artifacts in the presence of
field inhomogeneity. We propose an extension of a
recently developed algorithm for fast L
1
-SPIRiT
reconstruction of undersampled non-Cartesian parallel
imaging data, using a system matrix augmented with
time-segmentation and a circulant preconditioner to
yield high quality images quickly. We compare our method
to the existing fast non-Cartesian L
1
-SPIRiT
using both simulated brain and real phantom data sets,
where our proposed method effectively eliminates
artifacts from field inhomogeneity.

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